Deep learning for segmentation using an open large-scale dataset in 2D echocardiography
Delineation of the cardiac structures from 2D echocardiographic images is a common
clinical task to establish a diagnosis. Over the past decades, the automation of this task has …
clinical task to establish a diagnosis. Over the past decades, the automation of this task has …
Artificial intelligence applied to support medical decisions for the automatic analysis of echocardiogram images: A systematic review
VS de Siqueira, MM Borges, RG Furtado… - Artificial intelligence in …, 2021 - Elsevier
The echocardiogram is a test that is widely used in Heart Disease Diagnoses. However, its
analysis is largely dependent on the physician's experience. In this regard, artificial …
analysis is largely dependent on the physician's experience. In this regard, artificial …
Artificial intelligence: improving the efficiency of cardiovascular imaging
Introduction Artificial intelligence (AI) describes the use of computational techniques to
mimic human intelligence. In healthcare, this typically involves large medical datasets being …
mimic human intelligence. In healthcare, this typically involves large medical datasets being …
[HTML][HTML] Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography
Automatic semantic segmentation in 2D echocardiography is vital in clinical practice for
assessing various cardiac functions and improving the diagnosis of cardiac diseases …
assessing various cardiac functions and improving the diagnosis of cardiac diseases …
Transbridge: A lightweight transformer for left ventricle segmentation in echocardiography
Echocardiography is an essential diagnostic method to assess cardiac functions. However,
manually labelling the left ventricle region on echocardiography images is time-consuming …
manually labelling the left ventricle region on echocardiography images is time-consuming …
Deep learning-based automated left ventricular ejection fraction assessment using 2-D echocardiography
X Liu, Y Fan, S Li, M Chen, M Li… - American Journal …, 2021 - journals.physiology.org
Deep learning (DL) has been applied for automatic left ventricle (LV) ejection fraction (EF)
measurement, but the diagnostic performance was rarely evaluated for various phenotypes …
measurement, but the diagnostic performance was rarely evaluated for various phenotypes …
MAEF-Net: Multi-attention efficient feature fusion network for left ventricular segmentation and quantitative analysis in two-dimensional echocardiography
The segmentation of cardiac chambers and the quantification of clinical functional metrics in
dynamic echocardiography are the keys to the clinical diagnosis of heart disease. Identifying …
dynamic echocardiography are the keys to the clinical diagnosis of heart disease. Identifying …
[HTML][HTML] EchoEFNet: multi-task deep learning network for automatic calculation of left ventricular ejection fraction in 2D echocardiography
H Li, Y Wang, M Qu, P Cao, C Feng, J Yang - Computers in Biology and …, 2023 - Elsevier
Left ventricular ejection fraction (LVEF) is essential for evaluating left ventricular systolic
function. However, its clinical calculation requires the physician to interactively segment the …
function. However, its clinical calculation requires the physician to interactively segment the …
MV-RAN: Multiview recurrent aggregation network for echocardiographic sequences segmentation and full cardiac cycle analysis
Multiview based learning has generally returned dividends in performance because
additional information can be extracted for the representation of the diversity of different …
additional information can be extracted for the representation of the diversity of different …
Improved segmentation of echocardiography with orientation-congruency of optical flow and motion-enhanced segmentation
Quantification of left ventricular (LV) ejection fraction (EF) from echocardiography depends
upon the identification of endocardium boundaries as well as the calculation of end-diastolic …
upon the identification of endocardium boundaries as well as the calculation of end-diastolic …